Machine Learning Computer Vision 2

Question 1

Which pooling operation retains the maximum value within each pooling window?

Accepted Answer

Max pooling

Answer

Max pooling selects the highest activation value in each region, preserving the most prominent features.

Question 2

What does the term 'receptive field' refer to in the context of CNNs?

Accepted Answer

The region of input that influences a particular neuron's output

Answer

The receptive field is the portion of the input image that a particular neuron in the network can 'see' or respond to.

Question 3

In semantic segmentation, what is the output of the model?

Accepted Answer

A class label for every pixel in the image

Answer

Semantic segmentation assigns a class label to each individual pixel, producing a dense prediction map.

Question 4

Which architecture introduced skip connections (residual connections) to combat the vanishing gradient problem?

Accepted Answer

ResNet

Answer

ResNet (Residual Network) introduced skip connections that allow gradients to flow directly through the network, enabling very deep architectures.

Question 5

What is the primary purpose of data augmentation in training computer vision models?

Accepted Answer

Improving generalization by exposing the model to varied input transformations

Answer

Data augmentation artificially expands the training set with transformations like flips and rotations, helping the model generalize better to unseen data.

Machine Learning Practice Test

Machine Learning Practice Test

Machine Learning Computer Vision 2